Evidence map›Paper›PMID 32377810›Full record

ArticleEuropean radiology2020

Implementation of eHealth and AI integrated diagnostics with multidisciplinary digitized data: are we ready from an international perspective?

Mark Bukowski, Robert Farkas, Oya Beyan, Lorna Moll, Horst Hahn, Fabian Kiessling, Thomas Schmitz-Rode

Open access · hybridAbstract read
In one paragraph

Article in European radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.

  1. Pooled it
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  13. Digital Transformation in Healthcare: Technology Acceptance and Its Applications.International journal of environmental research and public health · 2023
    Article
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  17. Emerging methods in radiology.Der Radiologe · 2020
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Mark BukowskiDepartment of Science Management, Institute of Applied Medical Engineering, Helmholtz Institute, University Hospital Aachen, RWTH Aachen University, Pauwelsstr. 20, 52074, Aachen, Germany.
Robert FarkasDepartment of Science Management, Institute of Applied Medical Engineering, Helmholtz Institute, University Hospital Aachen, RWTH Aachen University, Pauwelsstr. 20, 52074, Aachen, Germany. farkas@ame.rwth-aachen.de.
Oya BeyanFraunhofer Institute for Applied Information Technology, FIT, Schloss Birlinghoven, 53754, Sankt Augustin, Germany.
Lorna MollRWTH Centralized Biomaterial Bank (RWTH cBMB), Institute of Pathology, University Hospital Aachen, RWTH Aachen University, Pauwelsstr. 30, 52074, Aachen, Germany.
Horst HahnFraunhofer Institute for Digital Medicine, MEVIS, Am Fallturm 1, 28359, Bremen, Germany.
Fabian KiesslingFraunhofer Institute for Digital Medicine, MEVIS, Am Fallturm 1, 28359, Bremen, Germany. fkiessling@ukaachen.de.
Thomas Schmitz-RodeInstitute of Applied Medical Engineering, Helmholtz Institute, University Hospital Aachen, RWTH Aachen University, Pauwelsstr. 20, 52074, Aachen, Germany. smiro@ame.rwth-aachen.de.
Universitätsklinikum Aachen · DEFraunhofer Institute for Digital Medicine · DEFraunhofer Institute for Applied Information Technology · DERWTH Aachen University · DE

Funding

RWTH Aachen University none
6 · The paper itself

Abstract

Digitization of medicine requires systematic handling of the increasing amount of health data to improve medical diagnosis. In this context, the integration of the versatile diagnostic information, e.g., from anamnesis, imaging, histopathology, and clinical chemistry, and its comprehensive analysis by artificial intelligence (AI)-based tools is expected to improve diagnostic precision and the therapeutic conduct. However, the complex medical environment poses a major obstacle to the translation of integrated diagnostics into clinical research and routine. There is a high need to address aspects like data privacy, data integration, interoperability standards, appropriate IT infrastructure, and education of staff. Besides this, a plethora of technical, political, and ethical challenges exists. This is complicated by the high diversity of approaches across Europe. Thus, we here provide insights into current international activities on the way to digital comprehensive diagnostics. This includes a technical view on challenges and solutions for comprehensive diagnostics in terms of data integration and analysis. Current data communications standards and common IT solutions that are in place in hospitals are reported. Furthermore, the international hospital digitalization scoring and the European funding situation were analyzed. In addition, the regional activities in radiomics and the related publication trends are discussed. Our findings show that prerequisites for comprehensive diagnostics have not yet been sufficiently established throughout Europe. The manifold activities are characterized by a heterogeneous digitization progress and they are driven by national efforts. This emphasizes the importance of clear governance, concerted investments, and cooperation at various levels in the health systems.Key Points• Europe is characterized by heterogeneity in its digitization progress with predominantly national efforts. Infrastructural prerequisites for comprehensive diagnostics are not given and not sufficiently funded throughout Europe, which is particularly true for data integration.• The clinical establishment of comprehensive diagnostics demands for a clear governance, significant investments, and cooperation at various levels in the healthcare systems.• While comprehensive diagnostics is on its way, concerted efforts should be taken in Europe to get consensus concerning interoperability and standards, security, and privacy as well as ethical and legal concerns.

Indexed as

Artificial IntelligenceComputer SystemsData MiningEuropeHumansInterdisciplinary ResearchInternationalityMedical InformaticsPrivacyPublishingRadiologySoftwareTelemedicineArtificial intelligenceDiagnosisElectronic health recordsEuropeInformation storage and retrieval

Identifiers

PMID32377810
PMCPMC7476980
OpenAlexW3021191805

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.